Spatial distribution, source identification, and risk assessment of heavy metals in riparian soils of the Tibetan plateau

Zhang, Tao; Wang, Pei; Wang, Mingguo; Liu, Jinwei; Gong, Lei; Xia, Shibin

doi:10.1016/j.envres.2023.116977

Cited by 14 publications

(3 citation statements)

References 56 publications

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“…Factor D was distinguished by the predominant loading of Cd and Pb. Previous research suggests that pollutants like Pb and Cd can be linked to the wear of tires, brakes, and linings, as well as the corrosion of lubricating oil and fuel additives [57][58][59]. Despite the gradual phase-out of leaded gasoline in recent years, the current fuel contains only trace amounts of lead, and lead emissions now primarily originate from wear rather than fuel combustion.…”

Section: Factor Apportionment and Contributionsmentioning

confidence: 99%

Characteristics and Sources of Heavy Metals Pollution in Surface Sediments: An Integrated Land–Sea Comparative Analysis in Dingzi Bay, South Yellow Sea

Gu,

Liu,

Yang

et al. 2024

Water

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Systematic and scientific assessments on heavy metal pollution are greatly important to protecting the coastal eco-environment. In this paper, the spatial distribution, pollution degree, ecological toxicity and possible sources of eight heavy metal elements collected from the 126 marine and 715 terrestrial surface sediments surrounding Dingzi Bay were analyzed by obtaining concentration measurements. The results revealed that the concentrations of heavy metals followed a pattern: inner bay > terrestrial areas > outer bay. Cr, Ni, Cu, Zn, Cd, Pb, and Hg were found to accumulate in fine particles (<0.063 mm), while As showed an association with specific particles (>0.25 mm and <0.016 mm). Spatial pollution patterns varied from non-polluted to low pollution levels overall, with localized contamination by individual elements. In addition to natural sources, four types of anthropogenic pollution were identified in the marine and terrestrial settings. Agricultural pollution, characterized by As predominance, exerted profound effects on both terrestrial and marine environments. Industrial pollution, featuring Hg dominance, was widespread in land environment and predominantly linked to atmospheric deposition. Traffic pollution, marked by elevated Pb and Cd, was concentrated around factories and densely populated areas. Maritime pollution, comprising Hg, Cr, Cd, and Zn, primarily occurred in the nearshore areas outside the bay. The findings of this study provide scientific data to the authorities in charge of sustainable coastal zone management in the South Yellow Sea.

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Section: Factor Apportionment and Contributionsmentioning

confidence: 99%

Characteristics and Sources of Heavy Metals Pollution in Surface Sediments: An Integrated Land–Sea Comparative Analysis in Dingzi Bay, South Yellow Sea

Gu,

Liu,

Yang

et al. 2024

Water

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“…Additionally, Tibet boasts abundant shale resources and geothermal reserves containing As minerals that can dissolve in geothermal water. These minerals are then enriched in aquatic environments through the effects of water vapor generated by geothermal activity [57,58]. Furthermore, wetland recharge water primarily originates from natural water bodies associated with the Lhasa River, such as the tailwater from the Xianduo Hydropower Station and the Liusha River.…”

Section: Source Apportionment Of Hmsmentioning

confidence: 99%

Health Risk Assessment of Heavy Metals in Soil of Lalu Wetland Based on Monte Carlo Simulation and ACPS-MLR

Yang,

Li,

Xiong

et al. 2023

Water

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Lalu wetland is the world’s largest plateau urban wetland. It was designated as a national-level nature reserve in China in 2004 and is often called “the lung of Lhasa”. It serves as a vital recreational area for urban residents. Concerns have arisen about the potential harm to human health due to heavy metals (HMs) in the wetland soil. This study assessed the ecological risk of HMs in Lalu wetland soil by using the potential ecological risk index and geo-accumulation index techniques. The findings showed that the Lalu wetland’s overall risk level is low risk. with Cd being the primary pollutant. Through the absolute principal component scores–multiple linear regression (APCS-MLR) model and Pearson correlation analysis, three sources of HMs were identified, including traffic sources, soil parent material sources, and geothermal sources, contributing 51.13%, 32.35%, and 16.52%, respectively. The results of the probabilistic health risk assessment based on Monte Carlo simulation indicate that non-carcinogenic risks are absent for both adults and children. However, acceptable carcinogenic risks are present. For adults, the main exposure mode is through dermal contact, while children are primarily exposed through ingestion. Children manifest a heightened vulnerability to these risks compared to adults, with As being the primary contributing element. The source-oriented health risk assessment (HRA) highlights geothermal sources as the primary contributors to health risks. The research results provide insights into the current status of HMs in Lalu wetland soil, offering a scientific basis for restricting and managing contamination by HMs in wetlands.

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“…In addition, human production activities, such as industrial waste disposal, fossil fuel combustion, and the use of agricultural chemicals, have considerably contributed to the issue of soil heavy metal pollution [7,12]. In recent years, practices like the irrigation of sewage water, atmospheric deposition, and the extensive use of pesticides and fertilizers have exacerbated the contamination problem in cultivated soils [13,14]. Additionally, soil physicochemical properties can impact the severity of soil heavy metal pollution.…”

Section: Introductionmentioning

confidence: 99%

Influencing Factors, Risk Assessment, and Source Identification of Heavy Metals in Purple Soil in the Eastern Region of Guang’an City, Sichuan Province, China

Shao,

Chen,

et al. 2024

Minerals

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Soil heavy metal contamination poses a significant threat to both environmental health and ecological safety. To investigate the influencing factors, ecological hazards, and sources analysis of heavy metals in purple soil, 27 sets of soil samples were collected from varying genetic horizons within Guang’an City, and the contents of As, Cd, Cu, Cr, Hg, Ni, Pb, and Zn were analyzed. The results indicated higher concentrations of heavy metals in soil A horizon, compared to that of C horizon. The relevance analysis indicated that the soil’s heavy metals were strongly correlated with the soil’s physicochemical properties. The enrichment factor, pollution load index, and potential risk index highlighted slightly to severely polluted levels of soil Cd and Hg, which significantly contribute to the ecological hazards posed by soil heavy metals. The potential source of heavy metals analyzed using the APCS-MLR model identified both anthropogenic inputs and natural sources as primary contributors to heavy metal presence in soils. The Cu, Cr, Ni, Pb, and Zn contents in the samples from different genetic horizons were chiefly influenced by natural sources, such as soil matrix erosion and weathering, while the concentrations of Cd and Hg were largely affected by anthropogenic activities, specifically coal combustion and agriculture. Conversely, the As content was found to be influenced by a combination of both factors. Anthropogenic activities greatly impacted soil heavy metals at various depths within the study area, thereby underscoring the importance of monitoring these heavy metals. The findings gained from this research can give a scientific basis for the potential utilization of purple soil.

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Spatial distribution, source identification, and risk assessment of heavy metals in riparian soils of the Tibetan plateau

Cited by 14 publications

References 56 publications

Characteristics and Sources of Heavy Metals Pollution in Surface Sediments: An Integrated Land–Sea Comparative Analysis in Dingzi Bay, South Yellow Sea

Characteristics and Sources of Heavy Metals Pollution in Surface Sediments: An Integrated Land–Sea Comparative Analysis in Dingzi Bay, South Yellow Sea

Health Risk Assessment of Heavy Metals in Soil of Lalu Wetland Based on Monte Carlo Simulation and ACPS-MLR

Influencing Factors, Risk Assessment, and Source Identification of Heavy Metals in Purple Soil in the Eastern Region of Guang’an City, Sichuan Province, China

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